Moonshot AI Launches Kimi K3.1 Pro Highspeed on Amazon Bedrock
In short: Moonshot AI has introduced Kimi K3.1 Pro Highspeed, a new model on Amazon Bedrock optimized for long-horizon agentic tasks and coding. The model delivers 2–3 times faster output than the standard version and includes configurable reasoning, tool calling, and support for explicit prompt caching to optimize costs.
This summary was generated automatically by AI from AWS Machine Learning's publication. It is our own text, not a copy of the original — facts, figures and quotes belong to the source, linked above and below.
What changed?
- 1New Kimi K3.1 Pro Highspeed model available on Amazon Bedrock.
- 22–3x faster generation speed compared to standard Kimi K3.1 Pro.
- 3Introduced Flex pricing tier for cost-sensitive background tasks.
- 4Explicit prompt caching supported for reduced latency and input costs.
- 5Configurable reasoning effort (low, high, max) integrated.
| Parameter | Before | Now |
|---|---|---|
| Context window | Not specified | 1 million tokens |
| Speed | Kimi K3.1 Pro | 2–3 times faster than Kimi K3.1 Pro |
| Reasoning | Not specified | Configurable (low, high, max) |
Why it matters
The high throughput and reasoning capabilities significantly improve the efficiency of agentic workflows, such as coding assistants and complex planning tasks. Explicit prompt caching and the new Flex pricing tier provide developers with granular control over performance versus cost.
What it means for AI agents and contact centers
When testing this model for your voice agents or contact center automations, focus on the trade-off between the model's reasoning effort and latency. Test the Flex tier for background processing and evaluate the explicit prompt caching for system prompts and repetitive tool definitions to optimize costs. Compare its performance in coding-related tasks against existing models currently in your stack.
🧪 Worth Testing
The model's combination of speed and large context handling is ideal for improving the latency of complex agentic interactions in your services.
Sources
- AWS Machine LearningOfficialPrimary sourceOriginal article →„Introducing Kimi K3.1 Pro on Amazon Bedrock“11 Nov 2026, 03:07
- Published by source
- 11 Nov 2026, 03:07
- Found by our system
- 11 Nov 2026, 03:28
- Summary generated
- 11 Nov 2026, 11:30
This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy